Triple
T17335350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garazeb Orrelios |
E420921
|
entity |
| Predicate | species |
P87
|
FINISHED |
| Object |
Lasat
Lasat are a powerful, agile, and spiritually inclined sentient species from the Star Wars universe, known for their warrior traditions and distinctive, tall, fur-covered appearance.
|
E1263240
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lasat | Statement: [Garazeb Orrelios, species, Lasat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lasat Context triple: [Garazeb Orrelios, species, Lasat]
-
A.
Lasta
Lasta is a historic region in northern Ethiopia that served as the political and cultural heartland of the medieval Zagwe dynasty.
-
B.
Laukaa
Laukaa is a municipality in Central Finland known for its lakes, rural landscapes, and proximity to the city of Jyväskylä.
-
C.
Lasi
Lasi is a regional dialect of the Sindhi language spoken primarily in parts of Balochistan and Sindh in Pakistan.
-
D.
Lastarria
Lastarria is a historic and bohemian neighborhood in central Santiago, Chile, known for its cultural venues, restaurants, and vibrant street life.
-
E.
Leava
Leava is the main administrative and population center of Futuna Island in the French overseas collectivity of Wallis and Futuna in the South Pacific.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lasat Triple: [Garazeb Orrelios, species, Lasat]
Generated description
Lasat are a powerful, agile, and spiritually inclined sentient species from the Star Wars universe, known for their warrior traditions and distinctive, tall, fur-covered appearance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lasat Target entity description: Lasat are a powerful, agile, and spiritually inclined sentient species from the Star Wars universe, known for their warrior traditions and distinctive, tall, fur-covered appearance.
-
A.
Lasta
Lasta is a historic region in northern Ethiopia that served as the political and cultural heartland of the medieval Zagwe dynasty.
-
B.
Laukaa
Laukaa is a municipality in Central Finland known for its lakes, rural landscapes, and proximity to the city of Jyväskylä.
-
C.
Lasi
Lasi is a regional dialect of the Sindhi language spoken primarily in parts of Balochistan and Sindh in Pakistan.
-
D.
Lastarria
Lastarria is a historic and bohemian neighborhood in central Santiago, Chile, known for its cultural venues, restaurants, and vibrant street life.
-
E.
Leava
Leava is the main administrative and population center of Futuna Island in the French overseas collectivity of Wallis and Futuna in the South Pacific.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a1125d88190b67243b30d93ce1c |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c5474788190936840effee2a8f5 |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018d1601208190acd755618c6c939e |
completed | May 11, 2026, 8:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018e0400888190a4eb8fa418517ac5 |
completed | May 11, 2026, 8:06 a.m. |
Created at: April 10, 2026, 5:43 a.m.